Position: ML Engineer

  • Category Information Technology
  • Location Kathmandu, Nepal
  • Salary N/A
  • Expiry date Jul 23, 2024 (5 days left)
Job Description
About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Qualification And Experience

  • Must have at least a bachelor's degree in Computer Science or similar
  • Minimum 2 years of relevant work experience

Required Skills/Competencies

  • Proficient in Basic Machine Learning concepts: algorithms, evaluation procedures, etc, and dealing with Common failure modes. Experienced in at least one area of application (E.g. CV, NLP, etc)
  • Has a sound knowledge of mathematical concepts like Linear Algebra, Probability and Statistics, Calculus
  • Proficient in frameworks & libraries such as Numpy, Pandas, Matplotlib, Scikit-learn and a good grasp of at least one of Tensorflow or Pytorch. Familiar with Flask, FastAPI or Django, and some domain-specific tools (e.g: opencv, spacy, etc)
  • Good Grasp on programming language and concepts such as Python + OOP + SOLID, Data Structures and Algorithms, RESTful APIs, and familiar with Architecture Design
  • Good Grasp of software tools and platforms such as git, conda, pip, jupyter, Docker, and at least one cloud platform like AWS/GCP
  • Good grasp of a database such as SQL/NoSQL
  • Has a good grasp of agile processes like Sprint and Kanban
  • Good Team Management, Communication, and Problem-Solving Skills

Key Responsibilities

  • Develop AI applications to adhere to designs that support business requirements for internal and external clients
  • Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation, and deployment
  • Perform data analysis to uncover insights that can be immediately actionable or can inform decisions around the ML process
  • Take initiative and ownership in writing requirement specifications and design documents for a variety of development tasks including feature development, database design, and system integrations
  • Preparation, drafting, and review of software documentation and project reports to meet internal and client requirements
  • Orchestrate deployment, monitoring, and maintenance of ML applications as per requirement
  • Lead one or more projects in different capacities (if required)
  • Guide other developers and help them (as required) to do their work and look for ways to improve overall team output
  • Take on Leadership roles (e.g: Supervisorial) as required

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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